Bidgely | AI-Powered Energy Analytics for Utilities
UTILITYAI PLATFORM

Purpose-Built for Utilities.
Deployed in Your Cloud.

You’ve invested in Snowflake, Databricks, copilots, and the cloud. None of them can decode a smart meter. UtilityAI deploys inside your environment to turn existing AMI data into actionable intelligence — giving your teams the visibility and tools they need to act on what’s really happening across the grid and behind the meter.

See the Platform

HOW IT WORKS

From raw meter data to decisions your teams can act on

Data Inputs

AMI / Smart Meter Data
CIS Customer Data
Grid & Feeder Data
EV Telematics
DER / Solar Data

Bidgely UtilityAI

Patented · 13 Years · Built for Utilities

Appliance-Level Disaggregation
EV Detection & Disaggregation
Load Forecasting & Dynamic Modeling
GenAI Energy Assistant
Purchase Propensity Models
Agentic AI Workflows

Deploy on your preferred cloud

Snowflake Databricks AWS Azure cloud

cloud On Premise

Outcomes

Customer Engagement & HERs
EV Programs & Managed Charging
Grid Planning & DER Management
Energy Efficiency Programs
Analytics Workbench

PLATFORM ARCHITECTURE

The Vertical AI Intelligence Layer for Utilities.

Models run inside your environment. Your data never leaves. Deploy from the marketplace on any major cloud or data platform.

GenAI Fabric

Connects any LLM in your environment to the utility intelligence your meters already generate. One MCP server. Every LLM your organization already uses.

  • MCP Server
    Exposes your utility models and data to any LLM in your environment
  • LLM Connectors
    Microsoft Copilot, Claude, ChatGPT, and Glean
Explore the GenAI Fabric ↗

Agentic Automation Fabric

Production-ready agents for the workflows your teams run every day, and the infrastructure to build any agent your utility needs.

  • Prebuilt Agents
    Ready-to-deploy for high bill analysis, transformer monitoring, and more
  • Custom Agents
    Build unlimited agents tailored to your utility workflows
Explore Agentic Automation
25 Patents
90%+ EV Detection Accuracy
50M+ Meters
1TB+ AMI Data Daily

Built for Your Environment, Not Ours.

Your cloud, your data

Install from the AWS, Azure, or GCP marketplace. Your data stays inside your environment. Your security policies, your governance controls, your infrastructure intact from the moment you deploy.

Utility models, not general AI

Pre-trained on AMI data from utilities. Not a general-purpose model fine-tuned on a sample. That distinction matters when your CIO asks why the outputs are accurate enough to act on.

Agent-ready across the organization

The MCP server is included. Connect any LLM, build unlimited custom agents, and integrate directly with the CRM, DERMS, ADMS, and BI tools your teams already use. One deployment approval, every use case.

WHAT YOU CAN BUILD

From the meter to every
decision that matters.

Every use case runs on the same pre-trained models, the same data, and the same deployment your CIO already approved.

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For Customer Experience, Call Center, and DSM

  • IVR personalization with appliance-level context
  • High bill complaint analysis agent
  • Marketing campaign tool integration
  • Custom DSM BI reports
  • Usage insights surfaced in your CRM
  • Customer-facing chatbots
agentic-ai-icon-5

For Grid Planning, Asset Management, and Operations

  • Transformer loading monitoring agent
  • DER load forecasting
  • Non-wires alternatives recommendation agent
  • Outage root cause analysis dashboard
  • Current-state DER analysis for interconnection requests
  • DERMS and ADMS integration

For Regulatory, Rates, and Internal Operations

  • Dynamic pricing simulation with appliance-level elasticity
  • IRP agent
  • Automated market potential studies
  • Cost and benefits analyzer for regulatory filings
  • Appliance-level inputs into system load forecasts
  • Rate analysis and design

Ready to see it in your environment?

Talk to an Expert

Resources

  • Webinar

    Recruiting for Grid Impact: Adaptive Targeting That Moves at the Speed of Change

    How do modern utilities find and recruit the right customers when load, adoption, and grid conditions are constantly changing? Program success today depends on precision recruitment and the ability to continuously adapt—refining who to engage, how to communicate value, and where to focus as real-world conditions evolve. NV Energy is ...
    Read More
  • Case Study

    Analytics Workbench Customer Snapshots

    Utilities are under pressure to deliver measurable outcomes across affordability, electrification, load flexibility, and customer experience. Bidgely's Analytics Workbench (AWB) gives teams a practical way to operationalize behind-the-meter intelligence, identify the right customers for the right programs, and prove impact with defensible results. This collection brings together customer snapshots from ...
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  • Case Study

    NV Energy’s Success with UtilityAI™ Platform

    Learn how NV Energy leverages AI-powered insights to design DSM programs that are efficient, cost-effective, and aligned with grid planning priorities.
    Read More
  • Podcast

    How NV Energy Is Taking a Smarter, Holistic Approach to the Grid of the Future

    By understanding how and when customers use energy, NV Energy shifts demand to AM hours, delaying the need for expensive new power plants.
    Read More
  • Video

    Data-Driven Engagement Maximizes TOU Opt-In and Retention

    Essential for successful TOU programs, using disaggregation to personalize savings and provide targeted communication that guides load-shifting behavior.
    Read More
  • Video

    How NV Energy is Using EV Intelligence to Shape Future Strategy

    NV Energy shares how it uses Bidgely’s EV Intelligence and Analytics Workbench to identify high-impact EV customers, uncover load growth hotspots, and drive targeted recruitment strategies that support grid planning, TOU optimization, and long-term electrification strategy.
    Read More
  • Industry Analysis

    SEPA Insight Brief: AI for Transportation Electrification

    Electric vehicle adoption is rapidly accelerating, creating both challenges and opportunities for utilities. As transportation electrification grows, utilities are turning to AI to better detect EVs, understand charging behavior, and design more effective programs. This brief explores how AI—particularly deep learning applied to AMI data—can support EV planning and program ...
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  • Podcast

    EEI Podcast Powering the Future AI Grid Enhancements

    In this EEI podcast, Ameren Illinois President Lenny Singh and Bidgely CEO Abhay Gupta explore how utilities are adapting to rapid electrification and rising energy demand. The conversation highlights how AI-powered analytics and behind-the-meter disaggregation are enabling smarter infrastructure planning, improving reliability, and transforming customer engagement strategies.
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  • Solution Brief

    DER Grid Planning Info Sheet

    Bidgely DER Grid Planning applies patented AI disaggregation to meter data to give utilities true behind-the-meter visibility into DER adoption, appliance usage, and demand patterns. With an 8760 temporal view of demand, asset capacity forecasting, and scenario modeling, utilities can uncover grid hot spots earlier, optimize Non-Wires Alternatives, and plan ...
    Read More